Jonathan Mayito

467 citations
25 papers · 223 · h-index 8

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 7
    • Pneumonia and Respiratory Infections 4
    • Pneumocystis jirovecii pneumonia detection and treatment 3

Jonathan Mayito

23 papers receiving 218 citations

Peers

Jonathan Mayito
Comparison fields: 5 of 63
  • Applied Microbiology and Biotechnology 20
  • Infectious Diseases 106
  • Virology 21
  • Pharmacology 36
  • Molecular Medicine 18
Replace Ritah Mutagonda with:
Ritah Mutagonda Tanzania
Hadija Semvua Tanzania
Marga Teulen Netherlands
Biruk Bayleyegn Ethiopia
Paola Della Siega Italy
Dragan Mikić Serbia
Heinz J. Schaad Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Mayito

Since Specialization
Citations

This map shows the geographic impact of Jonathan Mayito's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan Mayito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Mayito more than expected).

Fields of papers citing papers by Jonathan Mayito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Mayito. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan Mayito. The network helps show where Jonathan Mayito may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Mayito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Mayito Line = papers co-authored together Jonathan Mayito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201834
3 202127
4 201225
5 201212
6
Blood pressure profiles among Makerere University undergraduate students.
200510
7 20128
8 20208
9 20245
10 20224
11 20233
12 20063
13 20152
14 20232
15 20242
16 20251
17 20241
18 20251
19 20241
20 20241

About Jonathan Mayito

Jonathan Mayito is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, Molecular Medicine and Surgery, having authored 25 papers that have together received 223 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (8 papers), Tuberculosis Research and Epidemiology (7 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial Identification and Susceptibility Testing (4 papers), Pneumonia and Respiratory Infections (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Diagnosis and treatment of tuberculosis (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (20 citations), Infectious Diseases (106 citations), Virology (21 citations), Pharmacology (36 citations) and Molecular Medicine (18 citations). Jonathan Mayito has collaborated with scholars based in Uganda, United Kingdom and United States. Frequent co-authors include Mohammed Lamorde, Pauline Byakika‐Kibwika, Warunee Hanpithakpong, Joel Tärning, Máirín Ryan, Peter J. de Vries, Harriet Mayanja‐Kizza, Niklas Lindegårdh, Nadine G. Pakker and Irene Andia. Their work appears in journals such as PLoS ONE, International Journal of Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, BMJ Open and JMIR Public Health and Surveillance.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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